Parameter estimation performance for sigmoid emaxmodels in exposure-response Relationship

Parameter estimation performance for sigmoid emaxmodels in exposure-response Relationship

A total of 70 scenarios with 100 subjects were simulated and estimated 100 times applying one compartment PK model with first-order absorption and sigmoid Emax model using SSE (Stochastic simulation and estimation) of PSN (Perl-speaks-NONMEM) and first order conditional estimation with interaction (...

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Veröffentlicht in:Clinical therapeutics 2015-08, Vol.37 (8), p.e87
Hauptverfasser: Hasanuzzaman, Md, Masud Parvez, Md, Park, SE, Ghim, J-L, Shin, J-G, Lee, DH
Format: Artikel
Sprache:eng
Schlagworte:
Drug dosages
Economic models
Estimates
Mean square errors
Parameter estimation
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Zusammenfassung:A total of 70 scenarios with 100 subjects were simulated and estimated 100 times applying one compartment PK model with first-order absorption and sigmoid Emax model using SSE (Stochastic simulation and estimation) of PSN (Perl-speaks-NONMEM) and first order conditional estimation with interaction (FOCE-I) method in NONMEM (version 7.2).The bias and precision of the parameter estimates in each scenario were assessed using relative bias and relative root mean square error.
ISSN:0149-2918
1879-114X
DOI:10.1016/j.clinthera.2015.05.252